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  • Sun Yat-sen University
  • Guangzhou

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AllminerLab/README.md

Hi there 👋

🔭 We are from the AllminerLab, Sun Yat-sen University, and currently working on Graph data mining and its applications, including graph representation learning, graph data clustering, graph-based recommender systems, etc.

👯 Welcome for pasionate students interested in this field.

📫 Please contact changdongwang@hotmail.com.

--> We has published over 100 scientific papers in international journals and conferences such as IEEE TPAMI, IEEE TCYB, IEEE TKDE, IEEE TNNLS, KDD, AAAI, IJCAI and ACM MM. And try the best for more!

Popular repositories Loading

  1. GraphLoRA GraphLoRA Public

    Official implementation for KDD25 paper "GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning"

    Python 22 5

  2. Code-for-HapCL-master Code-for-HapCL-master Public

    Ting-Ting Su, Chang-Dong Wang, Wu-Dong Xi, Jian-Huang Lai, Philip S. Yu. Hierarchical Alignment with Polar Contrastive Learning for Next-basket Recommendation, TKDE2023.

    Python 7

  3. Code-for-KAERR-master Code-for-KAERR-master Public

    Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen. Knowledge-Aware Explainable Reciprocal Recommendation, AAAI 2024.

    Python 7 2

  4. Code-for-EMP-master Code-for-EMP-master Public

    Lei Xu, Zhen-Yu He, Kai Wang, Chang-Dong Wang and Shu-Qiang Huang. Explicit Message-Passing Heterogeneous Graph Neural Network, TKDE2023.

    Python 5

  5. Code-for-HATT-master Code-for-HATT-master Public

    Kang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang. Hypergraph Attribute Attention Network for Community Recommendation, ICDM2023.

    Jupyter Notebook 5

  6. Code-for-AAM-master Code-for-AAM-master Public

    Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai and Philip S. Yu. An Autoencoder Framework with Attention Mechanism for Cross-Domain Recommendation, TCYB2022

    Python 4